test-trainer

This model is a fine-tuned version of yiyanghkust/finbert-pretrain on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1690
• Accuracy: 0.6

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	64	1.0751	0.55
No log	2.0	128	1.0993	0.49
No log	3.0	192	1.1690	0.6

Framework versions

• Transformers 4.57.3
• Pytorch 2.6.0+cu124
• Datasets 4.4.1
• Tokenizers 0.22.1